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chntif
by chntif

gitlab_approve_mr

Approve a GitLab merge request by providing project ID and merge request IID, with optional SHA for optimistic locking.

Instructions

Approve merge request by GitLab approval API.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idNoGitLab project ID. Omit this field unless the user explicitly provided a value. When omitted, the current runtime config value is used (WORKFLOW_CODE_PROJECT_ID overrides the built-in default when configured). If the runtime config is still unset, the tool returns a missing-parameter error. Do not infer or auto-generate this value.
mr_iidNoMerge request IID.
shaNoOptional expected HEAD SHA for optimistic locking during approval.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYesWhether the tool call succeeded.
toolYesTool name.
dataNoGitLab merge request approval payload.
error_typeNoError type when ok=false.
messageNoError message when ok=false.
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so the description must disclose behavioral traits. It only states the basic action without mentioning idempotency, side effects of approving an already approved MR, authentication requirements, or whether approval is reversible.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence, highly concise. However, it could briefly mention prerequisites or refer to parameters without losing compactness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite having an output schema, the description lacks essential context like prerequisites, permission requirements, or behavior when the MR is already approved. The tool has 3 parameters, but the description does not explain their role or the tool's overall workflow.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, providing detailed descriptions for all parameters, especially project_id. The tool description adds no additional parameter context, so baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description explicitly states the action (Approve) and the resource (merge request) with the method (GitLab approval API), making the purpose very clear. It distinguishes from the sibling tool 'gitlab_unapprove_mr' which reverses the action.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool, prerequisites (e.g., MR must be open, user needs approval permissions), or when to avoid it. Without context, the agent must infer usage from the tool name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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